milos makes maps

@milos-makes-maps.bsky.social

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I paint the world with #rstats and teach you how to unleash your inner #map artist. Join my map adventures and tutorials now: https://youtube.com/@milos-makes-maps

A detailed thematic map of Switzerland visualizing 2020 population distribution using a logarithmic color scale over a shaded relief background. Bright orange and yellow tones indicate high population density areas like Zurich, Geneva, and Basel, while purple and black tones highlight sparsely populated alpine regions. The map includes a north arrow, population legend, and scale bar (80 km). Elevation is represented through 3D hillshading derived from SRTM data. Data sources: WorldPop 100m constrained grid (2020); SRTM via the elevatr R package. Map design: Milos Popovic (YouTube: Milos Makes Maps).
This tutorial will level up your skills and show you how to build animated wind maps from scratch. Watch it here: https://lnkd.in/e_8QaFn6 And if you’re ready to go deeper into the world of spatial data, check out my new book: Mapping Worlds with R: Your Journey from Beginner to Data Cartographer It’s packed with real projects, full code, and clear explanations for every step of the map-making process. Grab the book: https://payhip.com/b/MH9Ot Let’s catch the breeze, beautifully, in R. #rstats #GIS #DataVisualization #ClimateData #ERA5 #gganimate #WindMapping #Geospatial #EnvironmentalScience #OpenData #MilosMakesMaps #MappingWithR
🌬️ Ready to see the wind? This Sunday, I’m dropping a new YouTube tutorial that shows you how to visualize wind flow like never before, using nothing but R. We’ll map, animate, and decode wind patterns with stunning clarity. Catch the breeze here 👉🏻 youtube.com/@milos-makes-maps
Mapping worlds with R Your Journey from Beginner to Data Cartographer: https://payhip.com/b/MH9Ot
Mapping worlds with R Your Journey from Beginner to Data Cartographer: https://payhip.com/b/MH9Ot
A bright thumbnail with orange sunburst rays. On the left, a smiling man wearing glasses and a navy-blue sweater faces the camera, mouth open in excitement, and gestures with both hands toward the right side of the frame. On the right, a shaded-relief topographic map of a region appears in warm earth tones. Centered over the image is a black rectangle reading: “Scheduled – This video is currently members only and is scheduled to become public on May 4 2025 at 5:00 PM (Amsterdam time).
“Visits Map” — a world choropleth showing the geographic distribution of visitors to the ebook Mapping Worlds with R: Your Journey from Beginner to Data Cartographer. Countries are shaded from very light tan (1 visit) through medium greens up to dark green (155 visits). The United States is the darkest green (155 visits), followed by India and Canada in mid-green tones; Australia, Brazil, the United Kingdom, and several European nations appear in lighter greens, and many countries in Africa, Asia, and South America are in pale tan or light green, indicating lower but global reach. A legend at the bottom left shows the scale (1 – 155). Credits: Payhip Author Information • Title: Mapping Worlds with R: Your Journey from Beginner to Data Cartographer • Author: Milos Popovic, PhD (Data Science & Geospatial Education) • Publisher: Self-published via Payhip • Release Date: 2025
Book cover on a teal background titled “MAPPING WORLDS WITH R” above a stylized globe and paper-plane flight path graphic. Sub-title reads “Your Journey from Beginner to Data Cartographer.” At the bottom is the author’s name: Milos Popovic, PhD. Author & Order Info: Author: Milos Popovic, PhD Order your copy at: https://payhip.com/b/MH9Ot
A world map titled “Countries Affected by US Tariffs,” displaying countries shaded according to tariff percentages, ranging from 0-10% (light green) to 50% and over (dark red). Countries with no tariff changes are shaded grey. The map highlights higher tariff rates primarily in Asia, Africa, and parts of South America, while North America and Europe show mostly no changes. Author and Data Source: Map created by Milos Popovic. Data source: Official tariff data from the United States government.
Alt Text: Grayscale topographic map of Turkey showing pink circles at various locations, representing protest and riot events from March 19 to 21, 2025. Circle sizes range from smaller to larger, indicating different levels of protest activity. The map includes a legend for circle sizes (50, 100, 150, 200, 250+) and labels major cities and geographic features across the country. Author: Milos Popovic Data Source: Armed Conflict Location & Event Data Project (ACLED) (https://acleddata.com)
Map showing the distribution and intensity of protests and riots across Serbia from March 1 to March 21, 2025. The background is a grayscale topographic base map with country borders, major cities, and terrain details. Locations of protest events are marked by magenta circles, with larger circles indicating a greater number of protests. Most notable clusters appear in and around Belgrade and central Serbia. A legend in the upper right corner shows proportional symbol sizes for 5, 10, 15, and 20 protests. Author and Data Source: ©2025 Milos Popovic (https://milospopovic.net) Data: Armed Conflict Location & Event Data Project (ACLED) Source: www.acleddata.com (accessed on 26 March 2025)
🎉 Big milestone today: 350,000 views on my YouTube channel 👉🏻 https://youtube.com/@milos-makes-maps?si=Tat6AcSVYb_iUFpB I’m grateful for every single viewer, subscriber, and map enthusiast who’s joined me on this incredible journey. Can’t wait to create even more exciting mapping content for you all. Cheers!
Alt Text: Milos Popovic from the “milos-makes-maps” YouTube channel stands in a green sweater, hands extended in a presenting gesture, in front of a detailed 3D terrain map derived from LiDAR data. The map background includes labeled geographic features such as “Choley,” “Ried,” and “Nüwi Matta,” showcasing a crisp, high-resolution visualization.
Land cover data is essential for understanding the Earth’s surface—it aids in environmental monitoring, urban planning, and much more. With the right tools and data, you can create 3D maps that turn complex datasets into captivating stories. In my tutorials on Milos Makes Maps, I’ve explored how to leverage existing land cover and land use datasets to create stunning 2D and 3D visualizations. Here are 9 FREE tutorials to get you started:
FREE and unstoppable—I just uncovered 10 FREE GIS data sources that can skyrocket any maps you touch. In one quick session, you’ll see the exact steps to tap into each dataset using R—no fluff, all results. This is your personal blueprint for dominating geospatial analysis: from tackling biodiversity breakthroughs to completely rethinking city design. Ready to grab the code, ignite fresh research, and transform your projects? Let’s jump in!
FREE and unstoppable—I just uncovered 10 FREE GIS data sources that can skyrocket any maps you touch. In one quick session, you’ll see the exact steps to tap into each dataset using R—no fluff, all results. This is your personal blueprint for dominating geospatial analysis: from tackling biodiversity breakthroughs to completely rethinking city design. Ready to grab the code, ignite fresh research, and transform your projects? Let’s jump in!
🎉 Two years of Milos Makes Maps on YouTube! Thank YOU for 18K subscribers & 70+ tutorials. Your feedback like 💬 “These tutorials are a game-changer!” inspires us every day. Join our mapping adventure & level up your skills 👉 https://youtube.com/@milos-makes-maps
Alt Text: A land cover map of France displaying various land cover classes derived from ESA WorldCover 2021 data. The map uses vibrant colors to represent different classes, such as tree cover (green), shrubland (light green), grassland (pink), cropland (yellow), built-up areas (red), bare/sparse vegetation (brown), snow and ice (blue), permanent water bodies (dark blue), herbaceous wetland (light blue), and moss/lichen (orange). The map includes a scale bar indicating 200 km, a north arrow for orientation, and is annotated with ©2024 Milos Popovic, referencing the ESA WorldCover project 2021. Author Information: Map created by Milos Popovic, 2024. Data Source: ESA WorldCover project 2021.
A visually striking 2D map of the portion of the Snake river in Wyoming, USA and its surrounding terrain, showcasing intricate details of braided river channels and topography. The river appears bright white, sharply contrasting against the dark purple and blue terrain. The elevated terrain and detailed textures highlight the river's path and geological features. The map's shading and colors emphasize depth and flow patterns, creating a dramatic and artistic representation of the landscape. Author Information: This map was created by Milos Popovic. Visit [Milos Makes Maps YouTube Channel](https://www.youtube.com/@milos-makes-maps) for tutorials on how to create 3D maps and other mapping techniques.
New video thumbnail by milos-makes-maps
A population density map of the contiguous United States, highlighting glowing yellow clusters that represent areas of high population density, such as urban centers along the East Coast and scattered cities in the Midwest and West. The dark blue terrain emphasizes the vast, sparsely populated regions across the western U.S., creating a striking contrast between populated and unpopulated areas. The map provides a clear visualization of settlement patterns shaped by geography. Author Credit: Map created by Milos Popovic (https://milospopovic.net). Data Source: Global Human Settlement Layer - Population (R2023) at 3 arcsec resolution. © 2025 Milos Popovic.
A hydrologic map of India showcasing the intricate river networks and water systems across the country. The map highlights major rivers in blue, set against a detailed topographic background showing the diverse terrain, from the Himalayas in the north to the Deccan Plateau in the south. The map captures the complexity of India’s water systems and their interaction with the landscape. Author Credit: Map created by Milos Popovic (https://milospopovic.net). Data Source: ©World Wildlife Fund, Inc. (2006–2013), HydroSHEDS database (http://www.hydrosheds.org). © 2025 Milos Popovic.
A visually detailed map of forest cover in the Balkans, displaying the percentage of forested area per region using a gradient color scale. Green represents areas with the highest forest coverage (up to 100%), while yellow and beige indicate regions with less forest cover. The map highlights the spatial distribution of forests across the Balkan Peninsula, revealing a diverse and varied landscape. The legend below indicates the percentage of area covered by forests. Author Information: ©2025 Milos Popovic (https://milospopovic.net) Data: Copernicus Global Land Service: Land Cover 100m
A 3D population density map of the Iberian Peninsula, highlighting major cities like Madrid, Barcelona, Valencia, Porto, and Sevilla. Population density is represented with vertical spikes, where taller spikes indicate higher densities. The map uses a yellow-to-red gradient to emphasize urban and densely populated areas, with rural regions fading into softer yellow tones. Cities like Madrid and Barcelona show the tallest spikes, reflecting their significant population centers. Author Credit: Map created by Milos Popovic (https://milospopovic.net). Data Source: WorldPop (www.worldpop.org), Global High Resolution Population Denominators Project. DOI: https://dx.doi.org/10.5258/SOTON/WP00675. © 2024 Milos Popovic.
A detailed 2023 land cover map of California displaying diverse ecosystems. The map uses color coding: blue for water, green for trees, orange for crops, red for built-up areas, gray for bare ground, and yellow for rangeland. It showcases California’s natural and urban landscapes with high resolution. Author Information: Map created by Milos Popovic (https://milospopovic.net) in 2024. Data sourced from Sentinel-2 10m Land Use/Land Cover, Esri, Impact Observatory, and Microsoft.
A population change map of Italy (1990–2020) showing areas of growth, decline, and uninhabited regions. Green areas represent population growth, pink areas indicate population decline, and grey areas are uninhabited. The map provides a clear spatial depiction of demographic trends across the country, highlighting contrasts between urban and rural regions. Author Credit: Map created by Milos Popovic (https://milospopovic.net). Data Source: Global Human Settlement Layer (GHSL) - Population Grid (R2023) at 3 arcsec resolution. © 2023 Milos Popovic.
A dot density map of France visualizing population distribution by department. Each yellow dot represents 10,000 people, clustered in urban areas like Paris (notably dense) and dispersed in rural regions. The dark blue background contrasts with the bright yellow dots, creating a striking visualization of population density and regional disparities across the country. Author Credit: Map created by Milos Popovic (https://milospopovic.net). Data Source: The National Institute of Statistics and Economic Studies (INSEE), as of January 1, 2024. © 2024 Milos Popovic.
A dynamic 3D population density map of the Alpine region around Lake Geneva. The map uses vibrant colors, with yellow spikes indicating areas of high population density, particularly in urban centers like Geneva and Lausanne. Green and purple tones represent less densely populated areas, extending across Switzerland and parts of France and Italy. The map also labels surrounding cities like Annecy, Besançon, and Aosta, highlighting regional connectivity and demographic distribution. Author Credit: Map created by Milos Popovic (https://milospopovic.net). Data Source: Global Human Settlement Layer (GHSL), population grid (2023) at 3 arcsec resolution. © 2024 Milos Popovic.
A 3D population density map of the Netherlands, displaying vibrant colors to represent the number of people per square kilometer. Areas with higher population density are shown in shades of pink and purple, while less densely populated regions appear in yellow and orange. The map vividly highlights urban population clusters, such as the Randstad region, and offers a clear visual of population distribution across the country. A color scale at the bottom-left indicates population density values from 0 to over 5,000 people per square kilometer. Author Credit: Map created by Milos Popovic (https://milospopovic.net). Data Source: WorldPop (www.worldpop.org), Global High Resolution Population Denominators Project. DOI: https://dx.doi.org/10.5258/SOTON/WP00675. © 2024 Milos Popovic.
Alt Text: A collage of population density and demographic change maps created by Milos Popovic. The maps include visualizations of population density in the Netherlands, a district population dot density map of Iran, a population change map of Kazakhstan (1990–2020) showing areas of growth, decline, and uninhabited regions, and detailed 3D population density maps for parts of the Alps and Germany. A dot density map of the United Kingdom highlights population clusters in cities like Liverpool and Edinburgh. The visuals emphasize the spatial distribution and demographic trends using vibrant colors. Contact details: YouTube handle @milos-makes-maps and LinkedIn handle @milos-popovic.
A map showcasing wildfire events in California from 6–8 January 2025. Pink dots represent fire locations detected with high confidence by NASA’s VIIRS sensor. The map highlights areas near Malibu, Topanga, and Santa Monica. Data source: NASA FIRMS, VIIRS S-NPP (URT+NRT). Map created by Milos Popovic, 2025 (https://milospopovic.net). Full Author Information: Map created by Milos Popovic, a GIS expert and data visualization specialist, in January 2025. Learn more about his work and tutorials at https://milospopovic.net.
Alt Text: A map of California highlighting forest cover loss between 2001 and 2023. Areas of tree cover loss are marked in bright red, while shades of green indicate forest cover levels in the year 2000 (categorized as 0–25%, 25–50%, 50–75%, and 75–100%). The map vividly shows widespread forest loss concentrated in the Sierra Nevada, northern California, and southern coastal regions. Author credit: Milos Popovic (https://milospopovic.net), based on GLAD Global Forest Change data (2000–2023).
A vintage 1967 Polish Army atlas map of Yugoslavia, beautifully detailed with shaded relief showing the region’s geography. It highlights key cities like Belgrade, Zagreb, Sarajevo, and Ljubljana, along with mountains, rivers, roads, and coastal features. The Adriatic Sea is visible on the left, with labeled islands, showcasing the diverse terrain of the Balkan Peninsula. Author Information: Original Map: 1967 Polish Army Atlas, created by the Polish Military Cartography Division. Adaptation and transformation into a 3D landscape: Milos Popovic (https://milospopovic.net).
Alt text: A 3D land cover map of Türkiye showcasing various land classes in 2023. The map displays regions with different colors representing water (blue), trees (dark green), flooded vegetation (light green), crops (yellow), built areas (red), and rangeland (beige). The terrain includes mountains, plains, and water bodies, offering a detailed view of the country’s diverse landscapes. Author information: ©2024 Milos Popovic (https://milospopovic.net) Data: Sentinel-2 10m Land Use/Land Cover – Esri, Impact Observatory, and Microsoft.
Alt Text: A detailed isochrone map visualizing driving distances from the center of Barcelona, Spain. The map displays areas reachable within intervals of 10, 20, 30, 40, 50, and 60 minutes, with colors ranging from purple (shorter driving times) to orange (longer driving times). The map includes a scale bar showing distances in kilometers and a compass for orientation. Author Information: Map created by Milos Popovic (https://milospopovic.net), 2024. Data: © openrouteservice.org by HeiGIT | Map data: © OpenStreetMap contributors.
Land cover map of the Iberian Peninsula, showing diverse land cover classes such as tree cover, shrubland, grassland, cropland, built-up areas, bare/sparse vegetation, snow and ice, permanent water bodies, herbaceous wetland, and moss and lichen. The map is based on ESA WorldCover project 2021 data, with a color-coded legend and a scale bar of 200 km. Created by Milos Popovic. Author info: Milos Popovic | Data: © ESA WorldCover project 2021
New tutorial
Collection of maps by Milos-makes-maps YouTube channel
A map of Iran visualizing human settlement using a dark background with yellow areas representing populated regions. The title at the top asks, "Are there any people?" with a legend indicating "No" for black areas and "Yes" for yellow areas. The map highlights that large portions of the country appear uninhabited, with clusters of yellow marking dense population centers. At the bottom, the text reads "Iran" along with attribution: "©2024 Milos Popovic (https://milospopovic.net), Data: Global Human Settlement Layer at 3 arcsec.
A vintage-style map of Italy displaying detailed topography, including mountains, valleys, and coastal regions. The map features the Tyrrhenian Sea, Sardinia, and Sicily, with shaded relief emphasizing Italy's terrain and elevation. Roads, cities, and water bodies are marked with fine detail. Creator: Map by Milos Popovic. Explore more works at https://milospopovic.net
A detailed map of Italy showcasing population change from 1990 to 2020. The map uses color coding to indicate areas of growth (green), decline (pink), and uninhabited regions (gray). The title reads "Population Change (1990–2020) ITALY." Map created by Milos Popovic using data from the Global Human Settlement Layer - population grid (R2023) at 3 arcsec. Copyright ©2023 Milos Popovic (https://milospopovic.net).
A highly detailed land cover map of Germany, showcasing various landscapes classified by color. Green represents tree cover, yellow shows cropland, pink highlights grassland, and red indicates built-up areas. Other classes, like permanent water bodies (blue) and herbaceous wetlands (purple), add nuance. The map provides a rich visualization of Germany's diverse environment using data from the ESA WorldCover project. Credit: Map by Milos Popovic. Data source: ©ESA WorldCover project 2021.